Devices and Methods for Detection of Multiple Randomly Scheduled Non-Continuous Transmissions

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This invention describes a multi-user detector system and method for identifying multiple, randomly scheduled, non-continuous data transmissions in a communication network. The system estimates the modulation symbols transmitted from different network nodes by jointly analyzing the received signal using a Markov chain approach to identify the probable state sequences, helping to distinguish different data packets that are overlapping but not continuously transmitted.

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• Improving data reception in wireless sensor networks where multiple sensors transmit non-continuously
• Enhancing network performance in industrial IoT environments with sporadic data packet transmissions
• Optimizing communication in smart grid systems that rely on bursty data transmissions from distributed nodes
• Enabling efficient data detection in machine-to-machine (M2M) communications with unsynchronized devices
• Improving uplink efficiency in mobile or satellite networks with random access protocols

BenefitsContent extracted from patent full text and abstract with AI.

• Accurate detection of overlapping, non-continuous transmissions from multiple sources
• Improved network efficiency and reliability in environments with random or unscheduled packet transmissions
• Enhanced signal processing by leveraging knowledge of modulation symbol positions and types
• Reduced data loss and communication errors in multi-user wireless networks
• Scalable to large numbers of network nodes due to the joint estimation approach

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Patent Abstract

Die vorliegende Offenbarung schlägt einen gemeinsamen Mehrbenutzer-Detektor (100) vor, umfassend:Mittel (110) zum Empfangen eines Signals, entsprechend einer Überlagerung von nicht durchgehend übertragenen Stördatenpaketen von einer Mehrzahl von unterschiedlichen Netzwerkknoten, wobei jedes Datenpaket eine bekannte Anzahl von Modulationssymbolen umfasst;Mittel (120) zum gemeinsamen Schätzen der Modulationssymbole von der Mehrzahl von unterschiedlichen Netzwerkknoten durch Schätzen einer wahrscheinlichsten Sequenz von Zuständen einer Markow-Kette, was zu dem empfangenen Signal führt, wobei ein Zustand der Markow-Kette eine aktuelle Position eines übertragenen Modulationssymbols innerhalb eines entsprechenden Datenpakets von jedem Netzwerkknoten und das übertragene Modulationsmodul selbst reflektiert.